For many of us there’s that one podcast we never miss, and video content is part of our daily routine, whether it’s professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at Riverside, we know it well. That’s exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.

Riverside’s technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.

About the Innovation Team

At Riverside, the Innovation team is all about pushing the limits of AI to transform content creation. We work on everything from enhancing audio and video quality to automating production with machine learning, NLP, and computer vision. Whether it’s real-time rendering, intelligent editing, or new ways to process media, we turn cutting-edge research into practical tools that creators rely on. If you’re excited about shaping the future of media tech, you’ll fit right in.

On your day to day

We’re on the lookout for a hands-on, experienced MLOps Team Lead to help build and grow our team at Riverside. You’ll play a key role in driving AI innovation by building fast, scalable, cost-efficient, and reliable ML infrastructure that supports our AI model development. You’ll work closely with AI researchers, software engineers, and DevOps to create smooth ML workflows, manage large-scale GPU clusters, and ensure everything runs efficiently. You’ll also mentor a team, build data pipelines, and take ownership of the employee's full lifecycle, from recruitment to growth and development. Plus, you’ll make sure our models are deployed with confidence while fostering a culture of technical excellence and good vibes.

Requirements:

What Will Make You Stand Out?

• 6+ years of experience in Backend Engineering / MLOps / Platform Engineering.
• BSc in Computer Science, Software Engineering or related field.
• Experience as Team Lead (or equivalent positions).
• Excellent software engineering skills in Python and a proven track record of building production-grade, large-scale backend systems.
• Hands-on experience in ML pipeline automation and large-scale model deployment.
• Deep understanding of Docker, Kubernetes, cloud-native architectures (AWS/GCP) and infrastructure as code (Terraform, Helm, ArgoCD).
• Experience with observability & monitoring stacks (Prometheus, Grafana, Coralogix).
• Experience with workflow orchestration engines (such as Airflow, Argo Workflows or Temporal).
• Experience with distributed processing platforms (Apache Kafka or similar).

Leadership

• Proven ability to lead high-impact engineering teams in a fast-paced R&D environment.
• Hands-on mindset with a developed sense of ownership and a bias for action.
• Passion for mentorship, team-building and fostering a culture of innovation.
• Strong cross-functional collaboration skills, ability to work closely with researchers, engineers and other stakeholders.
• Proven ability to drive technical decisions, weighing short-term and long-term considerations, executing risk reduction and taking smart bets.

Bottom line? If you have deep technical expertise, thrive in fast-paced, innovative environments, and are excited by the challenge of building a world-class MLOps team, we want to hear from you.